m6 A promotes planarian regeneration.

Regeneration is the regrowth of damaged tissues or organs, a vital process in response to damages from primitive organisms to higher mammals. Planarian possesses active whole-body regenerative capability owing to its vast reservoir of adult stem cells, neoblasts, providing an ideal model to delineate the underlying mechanisms for regeneration. RNA N6 -methyladenosine (m6 A) modification participates in many biological processes, including stem cell self-renewal and differentiation, in particular the regeneration of haematopoietic stem cells and axons. However, how m6 A controls regeneration at the whole-organism level remains largely unknown. Here, we demonstrate that the depletion of m6 A methyltransferase regulatory subunit wtap abolishes planarian regeneration, potentially through regulating genes related to cell-cell communication and cell cycle. Single-cell RNA-seq (scRNA-seq) analysis unveils that the wtap knockdown induces a unique type of neural progenitor-like cells (NP-like cells), characterized by specific expression of the cell-cell communication ligand grn. Intriguingly, the depletion of m6 A-modified transcripts grn, cdk9 or cdk7 partially rescues the defective regeneration of planarian caused by wtap knockdown. Overall, our study reveals an indispensable role of m6 A modification in regulating whole-organism regeneration.

[Functional analysis of autophagy-related gene Atg6 in planarian central nervous system regeneration].

Autophagy-related gene 6 (Atg6) plays an essential role in autophagy, and loss of its function impairs neurogenesis. Planarian is a good model for the study of the central nervous system (CNS) regeneration. It can regenerate a new head de novo in 1 week following decapitation. Therefore, functional analysis of Atg6 in planarian CNS regeneration is very important for understanding of autophagy in the regulation of neurogenesis. In this work, we reported the molecular characteristics of Atg6 in Dugesia japonica (DjAtg6) for the first time and examined its function by RNAi. The full-length cDNA of DjAtg6 is 1366 bp encoding 423 amino acids. The deduced amino sequence of DjAtg6 contains the coil-coil domain and ß-α-repeated autophagy-specific domain shared by ATG6/Beclin 1 family. Following amputation before and after the pharynx, DjAtg6 transcripts increased and were mainly distributed in the newly regenerated brain structure. RNAi-DjAtg6 delayed planarian head regeneration with a small size of brain, and decreased the expression levels of neural-related genes. In addition, our results revealed that RNAi-DjAtg6 did not affect the stem cell proliferation, but down-regulated the cell migration-related genes mmp1 and mmp2. Furthermore, RNAi-mmp1 and RNAi-mmp2 delayed planarian head regeneration. Therefore, our results suggest that DjAtg6 is important for planarian CNS regeneration. The abnormal CNS regeneration caused by RNAi-DjAtg6 may be related to cell migration, but the detailed mechanism needs to be further investigated.

Resampling detection of recompressed images via dual-stream convolutional neural network.

Resampling detection plays an important role in identifying image tampering, such as image splicing. Currently, the resampling detection is still difficult in recompressed images, which are yielded by applying resampling followed by post-JPEG compression to primary JPEG images. Except for the scenario of low quality primary compression, it remains rather challenging due to the widespread use of middle/high quality compression in imaging devices. In this paper, we propose a new convolution neural network (CNN) method to learn the resampling trace features directly from the recompressed images. To this end, a noise extraction layer based on low-order high pass filters is deployed to yield the image residual domain, which is more beneficial to extract manipulation trace features. A dual-stream CNN is presented to capture the resampling trails along different directions, where the horizontal and vertical network streams are interleaved and concatenated. Lastly, the learned features are fed into Sigmoid/Softmax layer, which acts as a binary/multiple classifier for achieving the blind detection and parameter estimation of resampling, respectively. Extensive experimental results demonstrate that our proposed method could detect resampling effectively in recompressed images and outperform the state-of-the-art detectors.

Identification of a potential tissue-specific biomarker cathepsin L-like gene from the planarian Dugesia japonica: Molecular cloning, characterization, and expression in response to heavy metal exposure.

Heavy metal pollution is a global health issue affecting people worldwide, and the exploration of sensitive biomarkers to assess the toxicity of heavy metals is an important work for researchers. Cathepsin L, role as a tissue-specific biomarker to assess the biological effects of environmental pollutants, has not received much attention. In this work, the full-length cDNA of cathepsin L gene from the planarian Dugesia japonica (designated DjCatL) was cloned by rapid amplification of cDNA ends (RACE) technique. The cDNA sequence of DjCatL is 1161 bp, which encodes a protein of 346 amino acids with a molecular weight of 39.03 kDa. Sequence analysis revealed that DjCatL contains highly conserved ERF/WNIN, GNFD, and GCXGG motifs, which are the features of the cathepsin L protein family. Whole-mount in situ hybridization (WISH) results revealed that the transcripts of DjCatL are specifically distributed in the intestinal system, suggesting that this gene is related to food digestion in planarians. Both quantitative polymerase chain reaction (qPCR) and WISH results revealed that the transcriptional levels of DjCatL are inhibited significantly by heavy metal (Cd2+, Hg2+, and Cu2+) exposure in a dose-dependent manner. Therefore, we proposed that cathepsin L can be used as a tissue-specific biomarker to assess the heavy metal pollution in the aquatic environment.